Automatically identify and classify sensitive data across 200+ sources, in any format, any environment, ensuring comprehensive data visibility.
Help organizations comply with various data protection regulations such as GDPR, CCPA, LGPD, Australian Privacy Act and by automating compliance processes and maintaining audit trails.
Using AI, provide robust data protection measures to prevent unauthorized or personal data from being used to train AI models, ensuring the security of sensitive information.
Manage data privacy by automating privacy impact assessments, consent management, and data subject requests.
Identify and mitigate data-related risks, helping organizations proactively address potential vulnerabilities.
Ensure proper data retention and deletion practices, facilitating effective data lifecycle management.
Establish data governance frameworks and policies to maintain data quality, integrity, and accountability.
Reduce manual efforts and operational costs associated with data governance and compliance through automation and AI-driven insights.
Self-learning AI can adapt to evolving threats and changing data environments. It can recognize new patterns of sensitive data and potential security risks that traditional rule-based systems might miss.
Through iterative learning processes, self-learning AI can enhance the accuracy of data classification and correlation. This reduces false positives and ensures that sensitive data is identified correctly.
Automating the discovery and classification of sensitive data using AI significantly increases efficiency compared to manual methods. This allows security teams to focus on more strategic tasks and proactive measures.
AI systems can scale effortlessly to handle large volumes of data, making them suitable for enterprise-level applications where vast amounts of data are processed daily.
By continuously learning from data patterns and user behavior, self-learning AI can anticipate potential security threats and privacy vulnerabilities before they become serious issues. This proactive approach enhances overall data protection.
Over time, using AI for data privacy and security can lead to cost savings by reducing the need for manual intervention and minimizing the impact of data breaches or compliance violations.
Eliminates need to license multiple software platforms
Significantly reduces manual burden and programmer support. Expands reach into enterprise data and extends data protection beyond limits of legacy technologies
Support for Unstructured, Semi-structured, Structured data
Time to value. Speed to Insights & Decision-Making
Reduced false positives
Ease of onboarding and ease of use.
Reduces or eliminates need to hire staff, manage compute cost, licensing cost
End-to-end solution for AI data security and governance, ensuring compliance with AI governance regulations, improving data visibility, and mitigating risks associated with data usage in AI applications.
Using advanced AI algorithms to automatically discover, classify, and catalog data across various sources to help maintain an accurate and up-to-date inventory of their data assets.
Features including encryption, access controls, and anomaly detection, to protect sensitive information from unauthorized access and breaches.
By offering tools for data integration, cleansing, and enrichment which ensures that the data used in AI models is reliable, consistent, and of high quality.
Designed to scale with the growing needs of organizations. providing flexibility and adaptability to different business environments.
The intuitive dashboards and visualizations make it easy for users to monitor data activities, track compliance, and generate reports without requiring extensive technical expertise.
Reduces the need for multiple tools and manual processes and minimizes the resources and time required for managing data compliance and security.
Can be rapidly deployed and easily integrated with existing data systems and AI tools.
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Secuvy is designed to deliver immediate insights, with data discovery and classification beginning as soon as the platform is deployed. Depending on the size and complexity of your data environment, initial results can typically be seen within hours to a week -, allowing you to act quickly on data governance, security, and compliance needs. The modular nature of the platform ensures that businesses can scale usage efficiently as they grow.
Secuvy’s platform is designed for seamless deployment, whether in the cloud or on-premise. The deployment is done via Infrastructure artifacts such as CFTs or Helm Charts to be up and running within 45 minutes. Connectivity to data sources is quite straightforward as we use popular protocols such as OAuth, SAML, or Key based Auth mechanisms to connect securely to the data sources.
The Secuvy platform is modular, allowing customers to start with the core Discovery and Classification modules. As their needs evolve, additional modules can be seamlessly integrated, offering flexibility to expand without requiring a full suite adoption from the start.
Secuvy offers over 250 connectors to seamlessly integrate with a wide variety of data sources. These include popular platforms such as Office 365, G-Suite, Salesforce, Snowflake, MS SQL, PostgreSQL, MySQL, S3, Redshift, Databricks, Shopify, Slack, Azure Blobs, Google Storage, Big Query, and many more. These connectors provide comprehensive coverage for both structured and unstructured data, ensuring Secuvy scans data in any enterprise environment.
Yes, Secuvy integrates with a broad array of third-party applications through API connectors for unstructured data sources and JDBC/ODBC connectors for structured data. Additionally, Secuvy’s open API framework enables bi-directional integrations with security platforms for DLP/CASB, DRMs, and other solution partners. If there’s an API, Secuvy can connect to extend the value of your data across multiple platforms.
We are an Agentless platform. Secuvy scans on-premise data sources as long as point-to-point network traffic is permitted between the AWS-hosted platform and the on-premise data center. This allows for secure data scanning without the need for complex local installations, ensuring efficient and reliable connections to on-prem environments.
Secuvy’s unsupervised machine learning autonomously learns from the data within the customer’s environment, eliminating the need to retrain models whenever new or different data types are introduced. This approach minimizes operational overhead, reducing the need for additional staff or vendor intervention, while delivering more flexible and scalable insights tailored to dynamic data landscapes.
Secuvy is designed to be highly flexible and adaptable, enabling it to evolve in response to new laws and regulations. The platform can be easily modified to align with the constantly changing landscape of data privacy, security, and compliance, ensuring continuous support for regulatory shifts.
Secuvy is designed with security as a top priority. The platform does not store any sensitive customer data—only metadata. In the unlikely event that a container, such as a database, is compromised, the information would already be hashed, ensuring that no sensitive data is exposed. Furthermore, Secuvy is SOC 2 Type II compliant, demonstrating our commitment to maintaining the highest standards in data security and privacy.
Secuvy’s AI-powered automation reduces the need for manual data discovery, classification, and compliance efforts. This not only decreases the number of hours your team needs to spend on these tasks but also reduces the risk of human error, which can be costly. Many of our clients have seen significant reductions in operational costs, particularly in compliance management and data governance workflows, while enhancing overall security and compliance.